About This Course

Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, snacks, and beverages will be provided

If you would like weekend training sessions, kindly reach out to us at info@mangates.com for availability and scheduling.

Course Overview

The Machine Learning & AI in Python course empowers you to understand, build, and evaluate predictive models using Python. You will learn the fundamentals of supervised and unsupervised learning, model evaluation metrics, feature engineering, and get a glimpse into neural networks and deep learning. With practical hands-on exercises, this course prepares you to transition from theory to real-world machine learning applications.

Learning Objectives

By the end of this course, you will:

Understand core machine learning concepts and workflows
Build supervised and unsupervised models using scikit-learn
Evaluate model performance using appropriate metrics
Apply feature engineering techniques to improve predictions
Gain basic knowledge of neural networks and deep learning
Use Python for real-world AI and ML problem-solving

Target Audience

Data scientists, ML engineers, developers, and advanced Python users.

Why is it the Right Fit for You?

If you’re looking to take your Python programming skills into the realm of machine learning, this course is ideal. With a strong focus on applied learning and best practices, you’ll build models and analyze datasets that mirror real-world challenges. Our experienced instructors make complex concepts like algorithms and neural networks accessible through hands-on examples. This course helps you build confidence in working with machine learning tools and prepares you for advanced AI workflows.

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📧 Contact us today to schedule a customized in-house session: corporate@mangates.com

Contact the host of Python ML & AI Bootcamp: 1 Day Practical Workshop in Wellington